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A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain Research Articles
Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8, Pages 1114-1126 doi: 10.1631/FITEE.2000209
Keywords： 目标跟踪；滤波理论；随机有限集理论；贝叶斯方法；马尔可夫链
Recent advances in multisensor multitarget tracking using random finite set Review Articles
Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu,dktm131@163.com,t.c.li@nwpu.edu.cn,zoyofo@163.com,fanhongqi@nudt.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000266
Keywords： Multitarget tracking Multisensor fusion Average fusion Random finite set Optimal fusion
A novel algorithm to counter cross-eye jamming based on a multi-target model Research Articles
Zhi-yong SONG, Xing-lin SHEN, Qiang FU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 988-1001 doi: 10.1631/FITEE.1800394
Cross-eye jamming is an electronic attack technique that induces an angular error in the monopulse radar by artificially creating a false target and deceiving the radar into detecting and tracking it. Presently, there is no effective anti-jamming method to counteract cross-eye jamming. In our study, through detailed analysis of the jamming mechanism, a multi-target model for a cross-eye jamming scenario is established within a random finite set framework. A novel anti-jamming method based on multitarget tracking using probability hypothesis density filters is subsequently developed by combining the characteristic differences between target and jamming with the releasing process of jamming. The characteristic differences between target and jamming and the releasing process of jamming are used to optimize particle partitioning. Particle identity labels that represent the properties of target and jamming are introduced into the detection and tracking processes. The release of cross-eye jamming is detected by estimating the number of targets in the beam, and the distinction between true targets and false jamming is realized through correlation and transmission between labels and estimated states. Thus, accurate tracking of the true targets is achieved under severe jamming conditions. Simulation results showed that the proposed method achieves a minimum delay in detection of cross-eye jamming and an accurate estimation of the target state.
Keywords： Particle identity labels Probability hypothesis density Cross-eye jamming Anti-jamming Random finite set Monopulse radar
An improved subspace weighting method using random matrix theory Research Articles
Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1302-1307 doi: 10.1631/FITEE.1900463
Keywords： Direction of arrival Signal subspace Random matrix theory
Coupled Thermo-Mechanical Simulation of Gear Preforming Based on Finite Deformation Theory
Ying Fuqiang,Pan Xiaoyong,Li Min
Strategic Study of CAE 2007, Volume 9, Issue 7, Pages 47-52
Gear preforming by cross wedge rolling is an original question for discussion, parameters such as deformation, temperature field and mechanical performance are looking forward to be researched. This paper ties the advantages of preforming by CWR and the principle of generated gear together, and the die suited for gear rolling has been designed. Based on the finite deformation theory, the coupled thermal-mechanical constitutive model of gear rolling by CWR has been established. Then FEM simulation for the forming process has been developed in MSC. SuperForm, and information gained from the simulation has been analyzed also in detail which provide references for further study of gear rolling by CWR technology.
Keywords： cross wedge rolling(CWR) gear coupled thermo-mechanical FEM
A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory
Huang Xianming,Yi Jikai
Strategic Study of CAE 2004, Volume 6, Issue 4, Pages 44-50
A new method of constructing fuzzy neural network is presented and Rough set theory is applied to this method. Since Rough set theory has strong numeric analyzing ability and fuzzy neural network has exact function approaching ability, their combination can produce a neural network model with good intelligibility and fast convergence. First, some rules are acquired from given data set by rough set theory. Then, these rules are applied to constructing neural cell numbers and relative parameters in fuzzy neural network. Finally the initial network is trained by BP arithmetic and the whole network design is finished. Also in this paper, an example of nonlinear function approaching is discussed and the feasibility of this method is proved.
Keywords： fuzzy neural network rough set acquire rule function approaching
A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory
Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi
Strategic Study of CAE 2007, Volume 9, Issue 2, Pages 49-53
2DLDA algorithm is based on2D matrices and overleaps the step of transforming the matrices into the corresponding vectors,which is done on conventional LDA algorithm.However,performance of recognition rate may always be degraded by the overlapping(outlier)samples et al in the field of pattern recognition.How to avoid these shortcomings and extract optimal features to improve the performance of recognition is a key step. In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implemented first to achieve the distribution information of original samples represented with fuzzy membership degrees and is incorporated into the process of feature extraction.The proposed algorithm inherits the virtue of conventional2DLDA and suppresses the shortcoming resulted by overlappin g(outlier)samples et al. Experimental results on AT&T face database demonstrate rec ognition rates of the proposed algorithm outperform that of conventional2DLDA and fisherface.
Keywords： two-dimensional linear discriminant analysis(2DLDA) fuzzy two-dimensional linear
A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production
Chen Shuangye,Yi Jikai
Strategic Study of CAE 2001, Volume 3, Issue 12, Pages 42-46
A fuzzy neural network based on rough sets is presented in this paper. First, a set of rough rules are found from the given training data by using rough sets theory, then the structure and model are designed according these rules, and then the model is trained by neural network technique. The experiments that simulate the control process of side-wind for chemical fiber are carried out. The results proved its efficiency and feasibility.
Keywords： rough sets fuzzy logic neural network rules extracted
Taotao Feng, Hongfa Yu, Yongshan Tan, Haiyan Ma, Mei Xu, Chengjun Yue
Engineering 2022, Volume 17, Issue 10, Pages 123-139 doi: 10.1016/j.eng.2021.03.030
In this study, through experimental research and an investigation on large datasets of the durability parameters in ocean engineering, the values, ranges, and types of distribution of the durability parameters employed for the durability design in ocean engineering in northern China were confirmed. Based on a modified theoretical model of chloride diffusion and the reliability theory, the service lives of concrete structures exposed to the splash, tidal, and underwater zones were calculated. Mixed concrete proportions meeting the requirement of a service life of 100 or 120 years were designed, and a cover thickness requirement was proposed. In addition, the effects of the different time-varying relationships of the boundary condition (Cs) and diffusion coefficient (Df) on the service life were compared; the results showed that the time-varying relationships used in this study (i.e., Cs continuously increased and then remained stable, and Df continuously decreased and then remained stable) were beneficial for the durability design of concrete structures in marine environment.
Keywords： Large datasets Modified theoretical model Reliability theory Service life Boundary condition Diffusion coefficient
Finite-time formation control for first-order multi-agent systems with region constraints Research Articles
Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000177
Keywords： Finite-time formation Multi-agent system Asymptotic convergence Set constraint Lyapunov theorem
Research on the dynamic interactive management theory of high-speed rail station projects
Zheng Jian
Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 31-35
As an inevitable product of the sustainable development of national social-economy, high-speed rail and its stations will undoubtedly facilitate the forming and development of regional economy integration process as well as metropolis, thus stimulating and supporting the socio-economic development. High-speed rail has ushered in a new era of great opportunities since the Sixteenth National Congress with 139 new stations for high-speed rail completed by March 2011, like Beijing South Station, Wuhan Station, Guangzhou South Station, Shanghai Hongqiao Station and etc. The paper analyzes the interaction between high-speed rail station and social-economy and proposes the project and project portfolio dynamic interactive model and management theory taking social-economic development evolving regularities as its guiding strategy, offering theoretical basis for formulating the strategic goal system of high-speed rail station projects as well as program and single project management.
Keywords： high-speed rail station socio-economy program dynamic interactive management
Wang Zhan,Zhao Yanli,Liu Fengyu,Zhang Hong
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 158-164
In order to enlarge the field of application, reduce the cost of software rejuvenation and improve software availability and reliability,the adaptive software rejuvenation with fine rejuvenation granularity of object-oriented software system would be put forward. Based on the characteristics of the component and coupling relation between the components of the system, this paper determines the finest rejuvenation granularity, analyzes the degree of the coupling relation,sets down a method to calculate the restart dependence and its degree of the components,so that determines the restart reachable set of each component and gets the restart gather of the components at every granularity,and finally sets down and models the adaptive nested software rejuvenation policy. So executing intelligent software rejuvenation at fine rejuvenation granularity in the object-oriented software system can be supported.
Keywords： software rejuvenation restart dependence restart reachable set rejuvenation granularity SHLPN
Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 253-264 doi: 10.1631/FITEE.1700462
Classification of intertidal area in synthetic aperture radar (SAR) images is an important yet challenging issue when considering the complicatedly and dramatically changing features of tidal fluctuation. The difficulty of intertidal area classification is compounded because a high proportion of this area is frequently flooded by water, making statistical modeling methods with spatial contextual information often ineffective. Because polarimetric entropy and anisotropy play significant roles in characterizing intertidal areas, in this paper we propose a novel unsupervised contextual classification algorithm. The key point of the method is to combine the generalized extreme value (GEV) statistical model of the polarization features and the Markov random field (MRF) for contextual smoothing. A goodness-of-fit test is added to determine the significance of the components of the statistical model. The final classification results are obtained by effectively combining the results of polarimetric entropy and anisotropy. Experimental results of the polarimetric data obtained by the Chinese Gaofen-3 SAR satellite demonstrate the feasibility and superiority of the proposed classification algorithm.
Keywords： Intertidal classification Polarimetric synthetic aperture radar Finite mixture model Markov random field Generalized extreme value model
Stability of Boolean networks with state-dependent random impulses
Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2, Pages 141-286 doi: 10.1631/FITEE.1900454
Keywords： Boolean network with impulses Forward completeness Finite-time stability with probability one Asymptotical stability in distribution
Analysis of Theory of Architecture
Gu Mengchao
Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 100-102
Starting with the analysis of the definition and concept of the theory of architecture, the framework of architectural theory and the filling theory innovation, the author gives his understanding on the framework of architectural theory with Chinese characteristics.
Keywords： theory of architecture framework of architectural theory starting point and finishing point ofarchitectural theory innovation in architectural theory
Title Author Date Type Operation
A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain
Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn
Journal Article
Recent advances in multisensor multitarget tracking using random finite set
Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu,dktm131@163.com,t.c.li@nwpu.edu.cn,zoyofo@163.com,fanhongqi@nudt.edu.cn
Journal Article
A novel algorithm to counter cross-eye jamming based on a multi-target model
Zhi-yong SONG, Xing-lin SHEN, Qiang FU
Journal Article
An improved subspace weighting method using random matrix theory
Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn
Journal Article
Coupled Thermo-Mechanical Simulation of Gear Preforming Based on Finite Deformation Theory
Ying Fuqiang,Pan Xiaoyong,Li Min
Journal Article
A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory
Huang Xianming,Yi Jikai
Journal Article
A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory
Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi
Journal Article
A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production
Chen Shuangye,Yi Jikai
Journal Article
Service Life Design for Concrete Engineering in Marine Environments of Northern China Based on a Modified Theoretical Model of Chloride Diffusion and Large Datasets of Ocean Parameters
Taotao Feng, Hongfa Yu, Yongshan Tan, Haiyan Ma, Mei Xu, Chengjun Yue
Journal Article
Finite-time formation control for first-order multi-agent systems with region constraints
Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn
Journal Article
Research on the dynamic interactive management theory of high-speed rail station projects
Zheng Jian
Journal Article
Research and modeling analysis on adaptive nested fine-grainedsoftware rejuvenation of object-oriented software system
Wang Zhan,Zhao Yanli,Liu Fengyu,Zhang Hong
Journal Article
Intertidal area classification with generalized extreme value distribution and Markov random field in quad-polarimetric synthetic aperture radar imagery
Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI
Journal Article
Stability of Boolean networks with state-dependent random impulses
Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn
Journal Article
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